Split the text by sentences. Sentence splitting is useful for accurately analyzing and understanding text structure to summarize and analyze content. Sentence boundaries are detected by punctuation and through formal list items. For example, list items that begin with letters or numbers, such as

A)

or

1.

, are counted as individual sentences regardless of whether or not they have ending punctuation. Alternatively, list items that begin with bullet points or en dashes aren't automatically detected as individual sentences and are chunked based off of punctuation.

Split the text based on a configured number of words. Word splitting is useful for preserving word meanings and relationships, like names or locations, without aligning to sentence boundaries. Set a word chunking limit that's likely to capture common phrases or full sentences.

Split the text based on a configured fixed number of characters. This method might split text in the middle of sentences, but it preserves whole words. Fixed length character splitting is useful for scenarios when you want to ensure near constant chunk sizes.